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Deep Reinforcement Learning at the Edge of the Statistical Precipice

Deep Reinforcement Learning at the Edge of the Statistical Precipice

30 August 2021
Rishabh Agarwal
Max Schwarzer
P. S. Castro
Aaron Courville
Marc G. Bellemare
    OffRL
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Papers citing "Deep Reinforcement Learning at the Edge of the Statistical Precipice"

3 / 453 papers shown
Title
D2RL: Deep Dense Architectures in Reinforcement Learning
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRL
AI4CE
48
56
0
19 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
31
55
0
15 Oct 2020
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater
  Sample Efficiency and Simplicity
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Aditya Bhatt
Daniel Palenicek
Boris Belousov
Max Argus
Artemij Amiranashvili
Thomas Brox
Jan Peters
27
43
0
14 Feb 2019
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